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chronicler
implements the concept of history of objects. It is different
from R's standard history of commands in that alongside each command it
stores all objects that it creates, together with the information about their
lineage. (Lineage of an object is the tree of its parent objects.)
The best way to learn about chronicler
and see how history of objects can
be helpful in data analysis, see "introduction"
vignette. If you wish to give it a try in a pre-installed and pre-configured
run-time environment, see
"running the examples"
vignette.
chronicler
is in fact an umbrella-package: it comes with just a little code
to organize the work of a number of lower-level packages. chronicler
declares
a dependency on
storage
,
repository
,
ui
,
browser
,
search
,
defer
and
utilities
.
chronicler
chronicler
a go without too much prior workchronicler
)Other packages implementing the repository of artifacts: * repository - middle layer with "business logic" * storage - store of R objects * defer - building and processing closures of R functions and data * ui - text-based user interface * browser - graphical artifact browser, implemented as an RStudio add-in * search - match artifacts against arbitrary files (data and plots) * utilities - a set of shared utility functions
What is the use case for the repository of artifacts?
The goal is to build a generic mechanism to store artifacts of data
analysis and to search and browse such repository. Effectively, this
will extend R's history mechanism (see ?utils::history
) to contain
not only commands but also objects, data sets, plots, printouts, etc.
Thus, there is no domain-specific use case other than extending a basic
mechanism with the hope that users will adopt it according to their
personal preferences and working styles.
What are the key aspects of the repository of artifacts?
My estimate is that the current implementation covers 60% of the first point, 45% of the second point, and about 10-15% of the third one. See the work plan for further information.
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